Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "28"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 28 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 27 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 27 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 28, Node N01:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460010 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 12.678511 17.208576 11.459459 12.445742 9.230687 10.530177 0.777621 3.362556 0.0259 0.0256 0.0013 nan nan
2460009 RF_maintenance 100.00% 0.00% 88.00% 0.00% - - 9.396087 25.965518 1.107314 4.280740 5.438185 4.552302 2.223902 18.292496 0.3390 0.1521 0.2425 nan nan
2460008 RF_maintenance 100.00% 0.00% 75.84% 0.00% - - 10.918486 31.467380 0.467310 4.412635 4.800927 4.120470 2.110180 9.402184 0.3869 0.1702 0.2764 nan nan
2460007 RF_maintenance 100.00% 0.00% 82.72% 0.00% - - 8.134090 23.927734 0.428379 3.677396 4.665250 3.813288 4.189043 17.859481 0.3532 0.1582 0.2510 nan nan
2459999 RF_maintenance 0.00% 96.49% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0966 0.0554 0.0524 nan nan
2459998 RF_maintenance 100.00% 0.00% 87.40% 0.00% - - 8.596694 22.532447 0.600064 3.087388 4.359284 7.078967 5.557629 18.797093 0.3529 0.1496 0.2595 nan nan
2459997 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459996 RF_maintenance 100.00% 0.00% 86.22% 0.00% - - 9.909585 25.939192 1.668397 4.299828 6.271291 5.246005 2.965014 15.467416 0.3547 0.1554 0.2608 nan nan
2459995 RF_maintenance 100.00% 0.00% 82.86% 0.00% - - 10.435302 26.672481 0.801364 3.614964 3.225960 6.322074 3.962432 19.591515 0.3563 0.1581 0.2591 nan nan
2459994 RF_maintenance 100.00% 0.00% 87.04% 0.00% - - 10.208322 26.683416 0.459083 3.388878 3.793535 6.459729 2.954766 15.132206 0.3544 0.1518 0.2610 nan nan
2459993 RF_maintenance 100.00% 0.00% 97.48% 0.00% - - 12.600912 26.965797 0.366142 2.953770 5.468216 9.505774 4.034549 16.403026 0.2924 0.1149 0.2273 nan nan
2459991 RF_maintenance 100.00% 0.00% 87.61% 0.00% - - 12.576202 29.328071 0.023514 3.056162 5.043936 7.780274 3.893547 19.646332 0.3598 0.1510 0.2683 nan nan
2459990 RF_maintenance 100.00% 0.00% 85.15% 0.00% - - 9.998757 23.779769 -0.027140 2.864351 5.559347 8.352924 4.328713 19.678975 0.3581 0.1520 0.2639 nan nan
2459989 RF_maintenance 100.00% 0.00% 87.63% 0.00% - - 10.497299 25.313829 -0.140595 2.770894 5.478759 6.313298 4.220883 12.698445 0.3546 0.1503 0.2622 nan nan
2459988 RF_maintenance 100.00% 0.00% 88.11% 0.00% - - 11.968388 29.345292 -0.164261 2.871118 7.317595 10.130592 3.892634 14.023781 0.3507 0.1462 0.2604 nan nan
2459987 RF_maintenance 100.00% 0.00% 85.85% 0.00% - - 9.750689 25.066502 -0.080547 3.135188 5.132030 5.545451 3.332426 22.858606 0.3679 0.1581 0.2685 nan nan
2459986 RF_maintenance 100.00% 0.00% 73.27% 0.00% - - 11.680612 30.028822 -0.177756 3.307160 6.816145 8.714662 3.946246 18.339004 0.3918 0.1726 0.2817 nan nan
2459985 RF_maintenance 100.00% 0.54% 88.00% 0.00% - - 11.696300 28.686807 -0.173552 3.127210 8.268498 5.108652 6.017452 25.444999 0.3604 0.1502 0.2665 nan nan
2459984 RF_maintenance 100.00% 0.00% 83.61% 0.00% - - 10.154441 27.285524 -0.425236 4.015087 9.298397 16.900102 0.872628 18.392528 0.3818 0.1680 0.2701 nan nan
2459983 RF_maintenance 100.00% 0.00% 78.01% 0.00% - - 10.447418 27.337157 -0.013304 2.797882 6.388491 9.998958 3.320621 22.269075 0.3961 0.1765 0.2837 nan nan
2459982 RF_maintenance 100.00% 0.00% 61.53% 0.00% - - 13.423753 29.788038 0.592585 2.487398 3.417504 5.924934 0.655219 5.460869 0.4461 0.2083 0.3095 nan nan
2459981 RF_maintenance 100.00% 0.00% 87.36% 0.00% - - 9.957270 24.078414 -0.196390 2.724401 7.104656 10.807942 3.722259 25.851658 0.3618 0.1547 0.2656 nan nan
2459980 RF_maintenance 100.00% 0.00% 70.56% 0.00% - - 9.880410 22.522854 -0.203599 2.619662 6.492803 8.198901 2.422759 8.446044 0.4186 0.1894 0.2939 nan nan
2459979 RF_maintenance 100.00% 0.00% 89.02% 0.00% - - 10.507884 24.774204 -0.375265 2.309288 6.111122 8.303455 4.806075 19.073640 0.3553 0.1476 0.2685 nan nan
2459978 RF_maintenance 100.00% 0.00% 88.27% 0.00% - - 10.857826 25.340935 -0.382153 2.413305 6.187759 10.277611 5.333438 21.252147 0.3516 0.1508 0.2649 nan nan
2459977 RF_maintenance 100.00% 0.00% 93.28% 0.00% - - 10.060177 24.361294 -0.333844 2.646987 12.791279 9.003764 4.831863 20.515717 0.3375 0.1487 0.2409 nan nan
2459976 RF_maintenance 100.00% 0.00% 88.81% 0.00% - - 10.750348 25.085795 -0.283536 2.525676 5.526803 9.185594 3.913141 16.412545 0.3567 0.1521 0.2697 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 28: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 17.208576 12.678511 17.208576 11.459459 12.445742 9.230687 10.530177 0.777621 3.362556

Antenna 28: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 25.965518 9.396087 25.965518 1.107314 4.280740 5.438185 4.552302 2.223902 18.292496

Antenna 28: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 31.467380 31.467380 10.918486 4.412635 0.467310 4.120470 4.800927 9.402184 2.110180

Antenna 28: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 23.927734 8.134090 23.927734 0.428379 3.677396 4.665250 3.813288 4.189043 17.859481

Antenna 28: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 28: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 22.532447 8.596694 22.532447 0.600064 3.087388 4.359284 7.078967 5.557629 18.797093

Antenna 28: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 28: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 25.939192 9.909585 25.939192 1.668397 4.299828 6.271291 5.246005 2.965014 15.467416

Antenna 28: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 26.672481 10.435302 26.672481 0.801364 3.614964 3.225960 6.322074 3.962432 19.591515

Antenna 28: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 26.683416 10.208322 26.683416 0.459083 3.388878 3.793535 6.459729 2.954766 15.132206

Antenna 28: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 26.965797 12.600912 26.965797 0.366142 2.953770 5.468216 9.505774 4.034549 16.403026

Antenna 28: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 29.328071 12.576202 29.328071 0.023514 3.056162 5.043936 7.780274 3.893547 19.646332

Antenna 28: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 23.779769 23.779769 9.998757 2.864351 -0.027140 8.352924 5.559347 19.678975 4.328713

Antenna 28: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 25.313829 25.313829 10.497299 2.770894 -0.140595 6.313298 5.478759 12.698445 4.220883

Antenna 28: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 29.345292 29.345292 11.968388 2.871118 -0.164261 10.130592 7.317595 14.023781 3.892634

Antenna 28: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 25.066502 9.750689 25.066502 -0.080547 3.135188 5.132030 5.545451 3.332426 22.858606

Antenna 28: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 30.028822 30.028822 11.680612 3.307160 -0.177756 8.714662 6.816145 18.339004 3.946246

Antenna 28: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 28.686807 28.686807 11.696300 3.127210 -0.173552 5.108652 8.268498 25.444999 6.017452

Antenna 28: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 27.285524 10.154441 27.285524 -0.425236 4.015087 9.298397 16.900102 0.872628 18.392528

Antenna 28: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 27.337157 10.447418 27.337157 -0.013304 2.797882 6.388491 9.998958 3.320621 22.269075

Antenna 28: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 29.788038 13.423753 29.788038 0.592585 2.487398 3.417504 5.924934 0.655219 5.460869

Antenna 28: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Temporal Discontinuties 25.851658 24.078414 9.957270 2.724401 -0.196390 10.807942 7.104656 25.851658 3.722259

Antenna 28: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 22.522854 22.522854 9.880410 2.619662 -0.203599 8.198901 6.492803 8.446044 2.422759

Antenna 28: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 24.774204 10.507884 24.774204 -0.375265 2.309288 6.111122 8.303455 4.806075 19.073640

Antenna 28: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 25.340935 25.340935 10.857826 2.413305 -0.382153 10.277611 6.187759 21.252147 5.333438

Antenna 28: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 24.361294 10.060177 24.361294 -0.333844 2.646987 12.791279 9.003764 4.831863 20.515717

Antenna 28: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
28 N01 RF_maintenance nn Shape 25.085795 25.085795 10.750348 2.525676 -0.283536 9.185594 5.526803 16.412545 3.913141
In [ ]: